Modify-df-with-Natural-Language
This Streamlit app allows users to upload, visualize, and modify CSV or Excel data using natural language commands, translated into python code by a custom agent powered by ChatGPT-4o. It showcases the potential of LLMs to transform data interaction into an intuitive and accessible process.
This repository contains a Streamlit application that simplifies data visualization and manipulation using natural language. Users can upload CSV or Excel files, visualize and interact with the data, and modify it using commands in natural language, powered by a custom agent using ChatGPT-4o.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/awos99-modify-df-with-natural-language — read its card at https://meshkore.com/agent/awos99-modify-df-with-natural-language/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/awos99-modify-df-with-natural-languageFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/awos99-modify-df-with-natural-language/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Modify-df-with-Natural-Language?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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